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Lattice reduction (LR) is a powerful technique for improving the performance of linear MIMO detection methods. The efficient LR algorithms can largely improve the performance of the linear detectors (LDs). However, there are two problems involved in the LR-aided detection algorithms. One is that, the reduced basis is still not orthogonal, and most existing LR-aided algorithms devote to find a near...
The orbital angular momentum (OAM) is a physical property of an electromagnetic (EM) radiation, distinct from polarization, carrying a mechanical moment. In radio frequency range, OAM can be viewed as a phase gradient on the wave front. In this paper, the problem of the detection of the orbital angular momentum (OAM) order (or topological charge) for electromagnetic (EM) radiation is addressed. The...
Maximum likelihood (ML) based modulation detector is optimal in the sense that the detection error probability is minimized if no prior probability of candidate modulations is available at the detector. However, the high computational complexity of the ML-based detector strongly limits its practical implementation. This contribution deals with a computational-efficient approximation of the ML-based...
This paper deals with MIMO detection for rank 4 3GPP Long-Term-Evolution (LTE) systems. The paper revolves around a previously known detector [1], which we shall refer to as RCSMLD (Reduced-Constellation-Size-Maximum-Likelihood-Detector). However, a direct application of the scheme in [1] to LTE/LTE-A rank 4 test cases results in unsatisfactory performance. The first contribution of the paper is to...
Automatic detection of cells which are in outage has been identified as one of the key use cases for Self Organizing Networks (SON) for emerging and future generations of cellular systems. A special case of cell outage, referred to as Sleeping Cell (SC) remains particularly challenging to detect in state of the art SON because in this case cell goes into outage or may perform poorly without triggering...
For its simplicity and ease of implementation, Energy detection (ED) is attractive for spectrum sensing in cognitive radio (CR) systems. In ED, the energy captured is compared against a fixed detection threshold, which is estimated as a function of the noise power. Uncertainties caused by the imperfect knowledge of the noise power, referred to as noise uncertainty, leads to a reduced performance of...
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